Performance indicators for initial regional medical response to major incidents: a possible quality control tool
© Nilsson et al.; licensee BioMed Central Ltd. 2012
Received: 20 September 2012
Accepted: 5 December 2012
Published: 17 December 2012
Timely decisions concerning mobilization and allocation of resources and distribution of casualties are crucial in medical management of major incidents. The aim of this study was to evaluate documented initial regional medical responses to major incidents by applying a set of 11 measurable performance indicators for regional medical command and control and test the feasibility of the indicators.
Retrospective data were collected from documentation from regional medical command and control at major incidents that occurred in two Swedish County Councils. Each incident was assigned to one of nine different categories and 11 measurable performance indicators for initial regional medical command and control were systematically applied. Two-way analysis of variance with one observation per cell was used for statistical analysis and the post hoc Tukey test was used for pairwise comparisons.
The set of indicators for regional medical command and control could be applied in 102 of the130 major incidents (78%), but 36 incidents had to be excluded due to incomplete documentation. The indicators were not applicable as a set for 28 incidents (21.5%) due to different characteristics and time frames. Based on the indicators studied in 66 major incidents, the results demonstrate that the regional medical management performed according to the standard in the early phases (1–10 min after alert), but there were weaknesses in the secondary phase (10–30 min after alert). The significantly lowest scores were found for Indicator 8 (formulate general guidelines for response) and Indicator 10 (decide whether or not resources in own organization are adequate).
Measurable performance indicators for regional medical command and control can be applied to incidents that directly or indirectly involve casualties provided there is sufficient documentation available. Measurable performance indicators can enhance follow- up and be used as a structured quality control tool as well as constitute measurable parts of a nationally based follow-up system for major incidents. Additional indicators need to be developed for hospital-related incidents such as interference with hospital infrastructure.
KeywordsEmergency response Disaster management Casualty incident Quality measurement Resource management
Despite the fact that lessons learned from major incidents and disasters in the past have resulted in many improvements, shortcomings still exist[1–4]. We know from incidents involving casualties that a rapid response, accurate triage and controlled evacuation and distribution of casualties are important factors that influence the outcome for the victims[5–8]. Other studies have shown that regional coordination of medical resources improves patient flow, reduces time to definitive care and thereby improves patient outcome. Even though there are differences between countries, this level of management is often referred to as strategic management, gold level or regional medical command and control[5, 7, 10–14].
The indicators used in this study are derived from a national concept and process modelling of management in major incidents and disasters, conducted by the NBHW and have been described in two previous studies[16, 17]. The measurable performance indicators extracted from this process have been used for many years in Swedish disaster management training. In addition, the same indicators have been used in an international study and as an evaluation tool in full-scale exercises[18–21].
Indicators for quality control are well-established within most areas of health care, but there is still a need for their further development and implementation in the field of disaster medicine. One way to address these issues is to study if performance indicators for initial regional medical command and control can be used as a quality control tool, and thereby could be included in regional medical response plans and constitute measurable parts of a nationally based follow-up system for major incidents.
The aim of this study was to evaluate documented initial regional medical response to major incidents by applying a set of 11 measurable performance indicators for regional medical command and control and test the feasibility of the indicators.
This was a retrospective observational study of 130 major incidents occurring in two County Councils in Sweden between 2006 and 2009. Data in this study were collected from two County Councils who had fully implemented the national medical incident command and control system The personnel acting as DDO in these two County Councils are similar in terms of competencies and background. They have a clear regional mandate to declare major incidents and to take immediate medical decisions over all regional medical resources[22, 23] (Figure1). The two County Councils are located in one of Sweden’s largest metropolitan areas after Stockholm, Gothenburg and Malmö, with approximately 699 000 inhabitants living in urban and rural areas.
Classification of 130 major incidents that occurred in two Swedish County Council regions, 2006–2009
Distribution (n= 130)
Interference with hospital infrastructure
Support to other region
Incident abroad with a regional impact
Mean scores (0–2) for 11 performance indicators of initial regional medical command and control in 66 major incidents
Performance indicator (standard within x minutes from alert)
Mean score (0–2)
1. Declaration of major incident (1 min)
2. Decision on level of alert for staff (3 min)
3. Decision on sending additional resources to scene (3 min)
4. Decision on receiving hospitals (5 min)
5. Establishing contact with incident officers at scene (10 min)
6. Decision on preliminary referrals (10 min)
7. First information to media (15 min)
8. Formulate general guidelines for response (15 min)
9. Ensuring that there is adequate information for decision on referrals (20 min)
10. Assessment if resources in own organization are adequate (30 min)
11. Notify decision on referrals to receiving hospitals (40 min)
A two-way analysis of variance with one observation per cell and the post hoc Tukey test for pairwise comparisons were used. A p value <0.05 was considered significant. Minitab version 16 (Minitab Inc®,http://www.minitab.com) was used for the statistical calculations.
During the period from 2006 to 2009, 130 incidents were declared as major incidents. Regional medical command and control was established in various types of incidents (Table1). Approximately 1229 casualties (range 3–135/incident) were directly involved in 102 major incidents (78%) classified as accidents, fires, threats and CBRNE events. In 35 major incidents (27%), casualties were distributed to more than one hospital and in 15 major incidents (11.5%) one or more hospitals activated their hospital disaster plan.
The indicators were not applicable as a set in 28 incidents (21.5%) due to different characteristics and time frames. These incidents involved interference with hospital infrastructure requiring regional support (power failure, IT disturbance, phone interruptions), an incident occurring in another region (evacuation of in-hospital patients), an incident abroad having a regional impact (evacuation of Swedes from Lebanon), weather alerts (storms), and infectious events (suspected water contamination, mass vaccination during the H1N1 flu pandemic). The 11 measurable performance indicators assessing the initial regional medical command and control were applied in 102 major incidents (78%) in the following categories: accidents, fires, threats and CBRNE events. Thirty-six of the 102 major incidents were excluded due to incomplete documentation (Figure2).
A total of 726 measurable performance indicators were collected from 66 major incidents involving accidents, fires, threats and CBRNE events. Four hundred and forty-six indicators (61%) were met completely or partly, and in 280 indicators (38%), the objective was not met at all.
The mean score for each performance indicator ranged from 0.03 to 1.63 out of a maximum score of 2 (Table2). Indicator 4 and Indicator 5 had the highest mean values. Indicator 8 and Indicator 10 had the lowest mean values.
This was a study of the initial regional response to major incidents built on traceability and in compliance with a specific protocol of 11 measurable performance indicators. In the final systematic review of 66 major incidents, all performance indicators could be applied and used for assessing the regional medical response. The difficulty with the collection of data was mostly due to the lack of documentation. A decision may have been made or considered but unfortunately never documented. A prerequisite is that the indicators are known and accepted by the organizations and that the documentation is detailed enough.
Initial actions taken (often by the DDO and a regional medical officer–physician) within the first 10 min, such as declare major incident, alert to receiving hospitals and establish contact with medical command on scene, were often done correctly and on time. Decisions made after 10 min, usually concerning the distribution of casualties, were often somewhat delayed. The reason for this could be that the DDO had to wait for reports and additional information from the medical incident command on the scene. Our study of the regional documentation files revealed that the prehospital reports were sometimes not sent at all, or not according to standard operating procedures (e.g. first report within 3 min and a second verifying report within 10 min of arrival on the scene) resulting in the DDO being forced to obtain the information via the emergency dispatch centre instead. This unnecessary procedure could be one of the factors affecting the ability to make decisions at the right time.
Delays in decisions concerning distribution of victims might not be fatal in a minor incident, but can be crucial in situations with a more rapid course of events with a risk of overloading the nearest hospital[6, 25–27]. Several studies on incidents involving casualties show that effective casualty distribution plays a vital role in disaster management, especially if the incident occurs in a rural area where resources are limited[5, 7, 27, 28].
Another well-known truism for disasters is that the hospital or health care facility closest to the incident site will be the one most significantly affected by a large number of casualties and when timely notification is lacking, the hospitals will need to respond with the resources on hand. In addition, not seriously injured casualties self-refer to the hospital they are most comfortable with.[12, 29, 30]. In this study, we found that the casualties were distributed to more than one hospital according to a distribution key delivered by the regional medical command and control in 35 major incidents. Therefore, execution of a planned and timely distribution from a regional overall health care perspective can be beneficial, thus reducing the impact on daily activities and patient surge following an unnecessary activation of a local hospital disaster plan.
The regional command and control alerted a neighbouring county on one occasion only. The reason could be that the major incidents were not of such magnitude or there was no other reason to request resources from another region. It may also be that this decision was considered, but was not documented in the log file. However, there may also be a fundamental barrier such that neighbouring counties are only alerted when resources begin to run out. In a minor incident, it is probably enough to distribute casualties to the hospitals within one county, but in a major incident involving a large number of casualties, early contact with neighbouring counties can be crucial, particularly when higher levels of trauma care are required. The significantly low mean score for Indicator 11 suggests that the importance of an early alert and establishment of cooperation between County Councils needs to be stressed even more in education and training.
Another weakness observed in regional management was the absence of formulating guidelines for response, or in other words, taking a set of objectives and designing a strategic plan to mitigate any consequences of the incident. In simulation exercises, this type of strategic decision making has also been shown to be one aspect of regional management that needs to be improved. However, such a plan might have been considered but was not recorded in the log file. This may be very difficult to achieve in the early intensive phase of a major incident, but could have vital consequences for subsequent direction and evolution and could influence patient outcome. This emphasizes the need for more preparatory training and education for staff involved in strategic and goal-oriented decision making at the regional level of medical command.
The study demonstrates that a DDO at the regional level of health care has to deal with several types of major incidents, all with different characteristics and time lines. The experience from Khorram-Manesh et al.[14, 31] showed that incidents that interfere with the hospital infrastructure such as power or IT system failure also have an impact on regional preparedness and that the frequency of these types of hospital-related incidents has increased. The performance indicators used in this study were not applicable to these types of incidents. Even though an individual indicator (e.g. declare major incident) could be applied, most of the other indicators would have to be adjusted with regard to other objectives and time standards.
This study shows that in 77% of incidents, the regional medical command and control was active for 4 h or less and most incidents were handled by the DDO, a regional medical officer (physician) with one or two staff functions. This emphasizes the need to pay special attention to the important time perspectives when building up a regional response organization with regard to response time and the medical competencies needed to handle all types of major incidents.
Limitations of the study
Our study has some limitations due to its retrospective design and the lack of coherent incident documentation. Although correct and relevant documentation of incident management is a prerequisite for evaluation and follow-up, lack of documentation is a common problem in disaster evaluation studies[32, 33]. This study was also limited to major incidents with sufficient documentation and therefore we cannot rule out the risk of selection bias. However, what we do know is that the category distribution of the dropouts does not differ from the rest and the indicators could have been applied if documentation had been more comprehensive. In the future, the implementation of digital support systems that can provide real-time data, capture information and share it along the chain of medical command might increase the efficiency and resource management and also facilitate follow-up at all levels[34, 35].
In summary, in order to implement an effective quality control of response to major incidents, specific standards for the regional medical response needs to be set. The quality control process of regional medical response at major incidents must be ongoing to ensure effective response and to early detect deficiencies that continuously leads to quality improvements.
Measurable performance indicators enable a structured and objective evaluation of incident management, can identify areas for improvement, and could facilitate a systematic follow-up of major incidents. Further prospective studies are needed to examine if the time taken for regional decisions about distribution of casualties correlates with patient time at the scene, time to definitive care and patient outcome.
Measurable performance indicators for initial regional medical response are feasible to use as a quality control tool provided that there is sufficient documentation available. The indicators can be applied on major incidents that directly or indirectly involve casualties and could constitute measurable parts of regional and national follow-up systems. Modification of the present indicators and additional indicators might be needed to assess hospital-related incidents. Future introduction of digital information and support systems for incident management could provide more accurate and coherent documentation to support follow-up of major incidents at all levels.
This study was supported by the Swedish National Board of Health and Welfare. We acknowledge and thank Eva Bengtsson, Regional Crisis and Disaster Coordinator, County Council of Östergötland, and Thorbjörn Olsson, Regional Crisis and Disaster Coordinator, County Council of Södermanland for their willingness to help with data collection.
- Juffermans J, Bierens JJLM: Recurrent medical response problems during five recent disasters in the Netherlands. Prehosp Disaster Med. 2010, 25 (2): 127-136.View ArticlePubMedGoogle Scholar
- Rüter A, Örtenwall P, Vikström T: Performance indicators for major incident medical management- a possible tool for quality control. Int J Disaster Med. 2004, 2: 1-4. 10.1080/15031430410026749.View ArticleGoogle Scholar
- Lohrin H: Thirty-five Years of Disaster-Medicine Studies: Experience from KAMEDO’s Operations 1963–1998. 2000, Socialstyrelsen, StockholmGoogle Scholar
- Donahue AK, Tuohy RV: Lessons we don’t learn: a study of the lessons of disasters, why we repeat them, and how we can learn them. Homeland Security Affairs. 2006, 11 (2): 5-12.Google Scholar
- Bloch YH, Schwartz D, Pinkert M, Blumenfeld A, Avinoam S, Hevion G, Oren M, Goldberg A, Levi Y, Bar-Dayan Y: Distribution of casualities in a mass-casuality incident with three local hospitals in the perihery of densely populated area: lessons learned from the medical management of a terrorist attack. Prehosp Disaster Med. 2007, 22 (3): 186-192.PubMedGoogle Scholar
- Rater Y, Farfel A, Lehavi O, Goren OB, Shamiss A, Priel Z, Koren I, Davidson B, Schwartz D, Goldberg A, Bar-Dayan Y: Mass casualty incident management, triage, injury distribution of casualties and rate of arrival of casualties at the hospitals: lessons from a suicide bomber attack in downtown Tel Aviv. Emerg Med J. 2008, 25: 225-229. 10.1136/emj.2007.052399.View ArticleGoogle Scholar
- Aylwin CJ, König TC, Brennan NW, Shirley PJ, Davies G, Walsh MS, Brohi K: Reduction of critical mortality in urban mass casuality incidents:analysis of triage, surge, and resource use after the London bombings on July 7, 2005. Lancet. 2006, 368: 2219-2225. 10.1016/S0140-6736(06)69896-6.View ArticlePubMedGoogle Scholar
- Sollid SJ, Rimstad R, Rehn M, Nakstad AR, Tomlinson AE, Strand T, Heimdal HJ, Nilsen JE, Sandberg M, Collaborating group: Oslo government district bombing and Utoya island shooting July 22, 2011: the immediate prehospital emergency medical service response. Scand J Trauma Resusc Emerg Med. 2012, 20 (1): 3-10.1186/1757-7241-20-3.PubMed CentralView ArticlePubMedGoogle Scholar
- Epley EE, Stewart RM, Love P, Jenkins D, Siegworth GM, Baskin TW, Flaherty S, Cocke R: A regional medical operations center improves disaster response and inter-hospital trauma transfers. Am J Surg. 2006, 192 (6): 853-859. 10.1016/j.amjsurg.2006.08.057.View ArticlePubMedGoogle Scholar
- Advanced Life Support Group: Major Incident Medical Management and Support: The Practical Approach at the Scene. 2002, BMJ Publishing Group, Plymouth, UKGoogle Scholar
- Rüter A, Nilsson H, Vikström T: Medical Command and Control at Incidents and Disaster - From the Scene to the Hospital Ward. 2006, Studentlitteratur, LundGoogle Scholar
- Bolling R, Ehrlin Y, Forsberg R, Rüter A, Soest V, Vikström T, Ortenwall P, Brändström H: KAMEDO Report 90: terrorist attacks in Madrid, Spain, 2004. Prehosp Disaster Med. 2007, 22 (3): 252-257.PubMedGoogle Scholar
- Green WG: Command and Control of Disaster Operations. 2001, Universal Publishers, Boca Raton, FLGoogle Scholar
- Khorram-Manesh A, Hedelin A, Örtenwall P: Regional coordination in medical emergencies and major incidents;plan, execute and teach. Scand J Trauma Resusc Emerg Med. 2009, 17: 32-10.1186/1757-7241-17-32.PubMed CentralView ArticlePubMedGoogle Scholar
- Regulation SOSFS 2005:13: National Board Regulations and Guidelines for Peacetime Disaster Medical Preparedness and Planning Ahead of Alert. 2005, Socialstyrelsens, StockholmGoogle Scholar
- Rüter A, Vikström T: Performance indicators - from theory to implementation; one method of scientific approach to disaster medicine. Urgence Pratique. 2009, 93: 41-44.Google Scholar
- Rüter A, Lundmark T, Ödmansson E, Wikström T: The development of a national doctrine for management of major incidents and disasters. Scand J Trauma Resusc Emerg Med. 2006, 14: 189-194.Google Scholar
- Franc JF, Nichols D, Dong S: Increasing emergency medicine residents’ confidence in disaster management: use of an emergency department simulator and an expedited curriculum. Prehosp Disaster Med. 2012, 26 (6): 1-5.Google Scholar
- Rüter A, Örtenwall P, Vikström T: Performance indicators for prehospital command and control in training of medical first responders. Int J Disaster Med. 2004, 2: 89-92. 10.1080/15031430510032804.View ArticleGoogle Scholar
- Nilsson H, Vikström T, Rüter A: Quality control in disaster medicine training- initial regional medical command and control as an example. Am J Disaster Med. 2010, 5 (1): 35-40. 10.5055/ajdm.2010.0004.View ArticlePubMedGoogle Scholar
- Gryth D, Rådestad M, Nilsson H, Nerf O, Svensson L, Castrén M, Rüter A: Evaluation of medical command and control using performance indicators in a full-scale, major aircraft accident exercise. Prehosp Disaster Med. 2010, 25 (2): 118-124.View ArticlePubMedGoogle Scholar
- Östergötland County Council: Plan for Regional Disaster Preparedness. 2009, Östergötland County Council, LinköpingGoogle Scholar
- Södermanland County Council: Plan for Regional Disaster Preparedness. 2009, Södermanland County Council, NyköpingGoogle Scholar
- Kutner M, Nachtsheim CJ, Neter J, Li W: Applied Linear Statistical Models. 2004, McGraw-Hill Irwin, Boston, MAGoogle Scholar
- Zoraster RM, Chidester C, Koenig W: Field triage and patient maldistribution in a mass-casualty incident. Prehosp Disaster Med. 2007, 22 (3): 224-229.PubMedGoogle Scholar
- Ashkenazi I, Kessel B, Olsha O, Khashan T, Oren M, Haspel J, Alfici R: Defining the problem, main objective, and strategies of medical management in mass-casualty incidents caused by terrorist events. Prehosp Disaster Med. 2006, 23 (1): 82-89.Google Scholar
- Pinkert M, Lehavi O, Goren OB, Raiter Y, Shamis A, Priel Z, Schwartz D, Goldberg A, Levi Y, Bar-Dayan Y: Primary triage, evacuation priorities, and rapid primary distribution between adjacent hospitals—lessons learned from a suicide bomber attack in downtown Tel-Aviv. Prehosp Disaster Med. 2008, 23 (4): 337-341.PubMedGoogle Scholar
- Lockey DJ: The shootings in Oslo and Utoya Island July 22, 2011: lessons for the international EMS community. Scand J Trauma Resusc Emerg Med. 2012, 20 (1): 4-10.1186/1757-7241-20-4.PubMed CentralView ArticlePubMedGoogle Scholar
- Mattox K: The World Trade Center attack. Disaster preparedness: health care is ready, but is the bureaucracy?. Crit Care. 2001, 5: 323-325. 10.1186/cc1062.PubMed CentralView ArticlePubMedGoogle Scholar
- Hogan DE, Weackerle J, Dire D, Lillbridge S: Emergency department impact of the Oklahoma City terrorist bombing. Ann Emerg Med. 1999, 34 (2): 160-167. 10.1016/S0196-0644(99)70224-6.View ArticlePubMedGoogle Scholar
- Korram-Manesh A, Hedelin A, Örtenwall P: Hospital-related incidents;causes and its impact on disaster preparedness and prehospital organisations. Scand J Trauma Resusc Emerg Med. 2009, 17: 26-10.1186/1757-7241-17-26.View ArticleGoogle Scholar
- Stratton SJ, Tyler RD: Characteristics of medical surge capacity demand for sudden-impact disasters. Acad Emerg Med. 2006, 13 (11): 1193-1197. 10.1111/j.1553-2712.2006.tb01647.x.View ArticlePubMedGoogle Scholar
- Welling L, Perez RS, van Harten SM, Patka P, Mackie DP, Kreis RW, Bierens JJ: Analysis of the pre-incident education and subsequent performance of emergency medical responders to the Volendam cafe fire. Eur J Emerg Med. 2005, 12 (6): 265-269. 10.1097/00063110-200512000-00003.View ArticlePubMedGoogle Scholar
- Walderhaug S, Meland PH, Mikalsen M, Sagen T, Brevik JI: Evacuation support system for improved medical documentation and information flow in the field. Int J Med Inform. 2008, 77 (2): 137-151. 10.1016/j.ijmedinf.2007.01.006.View ArticlePubMedGoogle Scholar
- Demchak B, Griswold WG, Lenert LA: Data quality for situational awareness during mass-casualty events. AMIA Annu Symp. 2007, 11: 176-180.Google Scholar
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